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of 102
pro vyhledávání: '"Bennett, Casey"'
Autor:
Bennett, Casey C., Bae, Young-Ho, Yoon, Jun Hyung, Chae, Yejin, Yoon, Eunseo, Lee, Seeun, Ryu, Uijae, Kim, Say Young, Weiss, Benjamin
Publikováno v:
In Computer Speech & Language June 2023 81
Autor:
Bennett, Casey
Using a stochastic version of the Morris-Lecar model neuron, a scaling method is introduced in which the ODE that propagates voltage is invariant, but the underlying Markov chain which controls the discrete channel states converges to progressively s
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=case1441551744
Artificial Intelligence for Diabetes Case Management: The Intersection of Physical and Mental Health
Autor:
Bennett, Casey C.
Publikováno v:
Informatics in Medicine Unlocked, 2019
Diabetes is a major public health problem in the United States, affecting roughly 30 million people. Diabetes complications, along with the mental health comorbidities that often co-occur with them, are major drivers of high healthcare costs, poor ou
Externí odkaz:
http://arxiv.org/abs/1810.03044
Publikováno v:
In Pervasive and Mobile Computing July 2022 83
Akademický článek
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Autor:
Collins, Sawyer, Baugus Henkel, Kenna, Henkel, Zachary, Bennett, Casey C., Stanojevic, Cedomir, Piatt, Jennifer A., Bethel, Cindy L., Sabanović, Selma
Publikováno v:
ACM/IEEE International Conference on Human-Robot Interaction; Mar2024, p147-156, 10p
Autor:
Bennett, Casey C., Hauser, Kris
Publikováno v:
Artificial Intelligence in Medicine. 57(1): 9-19. (2013)
In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisio
Externí odkaz:
http://arxiv.org/abs/1301.2158
Autor:
Bennett, Casey C.
Publikováno v:
International Journal of Productivity and Performance Management. 60(3): 311-319 (2010)
Purpose: This goal of this study was to evaluate the effects of a data-driven clinical productivity system that leverages Electronic Health Record (EHR) data to provide productivity decision support functionality in a real-world clinical setting. The
Externí odkaz:
http://arxiv.org/abs/1206.0021
Publikováno v:
Health Policy and Technology 1(2): 105-114 (2012)
Objectives: Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data - the challenge is turning that data into useful information. Furthermore, EHRs are increasingly likely to include data relating to pati
Externí odkaz:
http://arxiv.org/abs/1204.4927
Autor:
Bennett, Casey
Publikováno v:
Journal of Biomedical Informatics 45: 634-641 (2012)
RxNorm was utilized as the basis for direct-capture of medication history data in a live EHR system deployed in a large, multi-state outpatient behavioral healthcare provider in the United States serving over 75,000 distinct patients each year across
Externí odkaz:
http://arxiv.org/abs/1204.4093